Healthcare and life sciences organizations are racing to accelerate discovery, improve diagnostics, and advance digital health and medical device innovation with AI.

As teams move from single-model experiments to agentic AI workflows that coordinate models, approved tools, and trusted data, they need practical ways to develop, evaluate, and govern those workflows before broader deployment. But developing and validating these models can introduce significant friction. Shared data center resources, cloud latency, unpredictable costs, and strict privacy requirements often slow experimentation, limit productivity, and make it harder to move AI projects forward.

Watch this webinar to learn how to scale AI development and create the right conditions for broader AI adoption, including how to:

  • Keep sensitive data secure and compliant
  • Scale AI across specific clinical workflows and use cases
  • Enable AI development from early experimentation through real-time execution with HP Z AI stations

Speakers

Matt F. Redlon, M.B.A. is chair of Mayo Clinic's AI Program and vice president of Digital Biology for Digital Pathology. He leads the strategy and is responsible for the integration of artificial intelligence across Mayo Clinic, advancing innovations in digital pathology, multimodal AI, virtual cells, and biological digital twins to improve patient care. With more than 20 years of experience in AI, healthcare analytics and technology innovation, Redlon previously co-founded and served as CEO of Clario and has held leadership roles at UnitedHealth Group. He holds an M.B.A. from the University of Minnesota's Carlson School of Management.

Curtis Burkhalter works as a Technical PMM, leading efforts for our HP ZGX Nano and Fury product line. He has worked in AI and machine learning for the past 15 years across various industries, including scientific research, automotive, software, and hardware.

Belgin Caglar leads healthcare and life sciences industry marketing for NVIDIA Enterprise Products. Her work focuses on go-to-market strategy and messaging for local AI systems, including workstations, servers, deskside AI supercomputers, and agentic AI computers. She works across healthcare and life sciences initiatives to connect NVIDIA enterprise hardware platforms to customer workflows in areas such as AI development, scientific research, medical imaging, and clinical operations.

Matt F. Redlon

Chair of Mayo Clinic AI Program and Vice President of Digital Biology, Mayo Clinic Digital Pathology

Curtis Burkhalter

Technical PMM, HP

Belgin Caglar

Healthcare and Life Sciences Industry Marketing Manager, NVIDIA